Relationship between Carbon Dioxide/Methane Emissions and the Water Quality/Sediment Characteristics of Taiwan’s Main Rivers

Wu, Li-Chun; Wei, Chia-Bei; Yang, Shang-Shyng; Chang, Tsu-Hua; Pan, Han-Wei; Chung, Ying‐Chien

doi:10.1080/10473289.2007.10465340

Cited by 14 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CH 4 -generating habitats in lakes and wetlands, as well as streams and rivers, share a common trait of having ample stocks of OM that provide the fuel for respiration and allow this process to progress to the point when methanogenesis is the only remaining option. CH 4 concentrations and fluxes are often correlated with sediment OM content (e.g., Wu et al 2007, Baulch et al 2011a, Crawford et al 2014b, and analysis of MethDB revealed a positive relationship between concentration and DOC (Fig. 7).…”

Section: Proximate Controlsmentioning

confidence: 95%

The ecology of methane in streams and rivers: patterns, controls, and global significance

Stanley¹,

Casson²,

Christel³

et al. 2015

Ecological Monographs

169

315

View full text Add to dashboard Cite

Growing awareness of ongoing and rapid changes in Earth's carbon cycle is motivating a new era of research aimed at improving our understanding of ecosystems as both responders to, and drivers of larger-scale biogeochemical dynamics. In the case of streams and rivers, this has often taken the form of elucidating their role as processors of organic carbon (OC), a capacity that far exceeds their meager size and significantly influences the export of continental OC to marine environments (Cole et al. 2007, Battin et al. 2009, Aufdenkampe et al. 2011). Amplified OC processing has been inferred from observations of smaller export loads relative to inputs, rates of ecosystem respiration that exceed gross primary production, and/or occurrence of supersaturated concentrations of the products of OC decomposition, namely, carbon dioxide (CO 2) and methane (CH 4).

show abstract

Section: Proximate Controlsmentioning

confidence: 95%

The ecology of methane in streams and rivers: patterns, controls, and global significance

Stanley¹,

Casson²,

Christel³

et al. 2015

Ecological Monographs

169

315

View full text Add to dashboard Cite

show abstract

“…CH 4 concentrations and fluxes are often correlated with sediment OM content (e.g., Wu et al. , Baulch et al. , Crawford et al.…”

Section: A Framework For Controls On Ch4 In Streams and Riversmentioning

confidence: 99%

The ecology of methane in streams and rivers: patterns, controls, and global significance

Stanley

Casson

Christel

et al. 2016

Ecological Monographs

428

335

View full text Add to dashboard Cite

Streams and rivers can substantially modify organic carbon (OC) inputs from terrestrial landscapes, and much of this processing is the result of microbial respiration. While carbon dioxide (CO2) is the major end‐product of ecosystem respiration, methane (CH4) is also present in many fluvial environments even though methanogenesis typically requires anoxic conditions that may be scarce in these systems. Given recent recognition of the pervasiveness of this greenhouse gas in streams and rivers, we synthesized existing research and data to identify patterns and drivers of CH4, knowledge gaps, and research opportunities. This included examining the history of lotic CH4 research, creating a database of concentrations and fluxes (MethDB) to generate a global‐scale estimate of fluvial CH4 efflux, and developing a conceptual framework and using this framework to consider how human activities may modify fluvial CH4 dynamics. Current understanding of CH4 in streams and rivers has been strongly influenced by goals of understanding OC processing and quantifying the contribution of CH4 to ecosystem C fluxes. Less effort has been directed towards investigating processes that dictate in situ CH4 production and loss. CH4 makes a meager contribution to watershed or landscape C budgets, but streams and rivers are often significant CH4 sources to the atmosphere across these same spatial extents. Most fluvial systems are supersaturated with CH4 and we estimate an annual global emission of 26.8 Tg CH4, equivalent to ~15‐40% of wetland and lake effluxes, respectively. Less clear is the role of CH4 oxidation, methanogenesis, and total anaerobic respiration to whole ecosystem production and respiration. Controls on CH4 generation and persistence can be viewed in terms of proximate controls that influence methanogenesis (organic matter, temperature, alternative electron acceptors, nutrients) and distal geomorphic and hydrologic drivers. Multiple controls combined with its extreme redox status and low solubility result in high spatial and temporal variance of CH4 in fluvial environments, which presents a substantial challenge for understanding its larger‐scale dynamics. Further understanding of CH4 production and consumption, anaerobic metabolism, and ecosystem energetics in streams and rivers can be achieved through more directed studies and comparison with knowledge from terrestrial, wetland, and aquatic disciplines.

show abstract

“…Hal ini sesuai dengan dugaan bahwa tingginya kebutuhan oksigen kimiawi menunjukkan tingginya kandungan material organik/anorganik yang ada di dalam air. Tingginya konsumsi oksigen tersebut terkait dengan kenaikan produk respirasi berupa CO2 (Wu et al, 2007). Salah satu penyebab penurunan pH air adalah kuantitas gas CO2 di dalam air yang kemudian akan menghasilkan ion hidrogen (H + ) dan bikarbonat (HCO3) (Talling, 2010;Raju et al,2014).…”

Section: Pengaruh Kenaikan Cod Terhadap Penurunan Ph Air Sungai Brantunclassified

Tingkat dan laju penurunan kualitas air di DAS Brantas Malang Raya

Perwira

2019

J. Mar. Aquat. Sci.

View full text Add to dashboard Cite

The decrease level of water quality of Brantas Watershed in Malang Raya was observed in this study. The aim of this study was to observe the decrease level of water quality of Brantas Watershed from Batu to Malang City. This study was carried out in the Brantas Watershed of Malang Raya (8 stations: A, B, C, D, E, F, G, and H) for 18,4 Km. The water quality parameters observed in this study were: CODmn (permanganometry), CODcr (CODmn correlation based analysis), dissolved oxygen (DO) (Winkler iodometry), TDS and electrical conductivity (EC) (EC meter), pH (pH meter), and turbidity (Turbidity meter). The result showed the value of CODmn: 1,8-10,2 mg/L, CODcr: 5,6-31,5 mg/L, DO: 4,0-6,1 mg/L, TDS: 204-289 mg/L, EC: 430-617 µS/cm, pH: 7,1-7,6, and turbidity: 2,02-10,30 NTU. There are 3 stations (A, B, and C) with 1st class water quality, 1 station (D) with the 2nd class water quality, and 4 stations (E, F, G, and H) with 3rd class water quality. The decrease of water quality in the Brantas Watershed from Batu to Malang City was up to 3 times with a decrease rate of 2,3 mg/L-1Km-1. The decomposition of organic materials in the water of Batu City and western part of Malang City is relatively better than that of central parts of Malang City which might be caused by the over capacity of recovery (Self-purification mechanism).

show abstract

Relationship between Carbon Dioxide/Methane Emissions and the Water Quality/Sediment Characteristics of Taiwan’s Main Rivers

Cited by 14 publications

References 14 publications

The ecology of methane in streams and rivers: patterns, controls, and global significance

The ecology of methane in streams and rivers: patterns, controls, and global significance

The ecology of methane in streams and rivers: patterns, controls, and global significance

Tingkat dan laju penurunan kualitas air di DAS Brantas Malang Raya

Contact Info

Product

Resources

About